code: def to_dlpack(
      x: Union[tf.Tensor, tf.Variable],
      /,
      *,
      out: Optional[Union[tf.Tensor, tf.Variable]] = None,
  ):
      if isinstance(x, tf.Variable):
          x = x.read_value()
      dlcapsule = tf.experimental.dlpack.to_dlpack(x)
      return dlcapsule
  
imports: import numpy
  from numbers import Number
  from typing import Union, List, Optional, Sequence, Tuple
  import tensorflow
  import ivy
  from ivy.func_wrapper import with_unsupported_dtypes
  from ivy.functional.ivy.creation import _asarray_to_native_arrays_and_back, _asarray_infer_device, _asarray_infer_dtype, _asarray_handle_nestable, NestedSequence, SupportsBufferProtocol, _asarray_inputs_to_native_shapes
  from .None import backend_version
label_desc: Use image node_id 6 for calling a global function with example usage: to_dlpack() and returns: dlcapsule